John Wu

665 citations
27 papers · 315 · h-index 10

Impact in

    • PARP inhibition in cancer therapy
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Orthopedic Surgery and Rehabilitation

Papers in

    • Orthopedic Surgery and Rehabilitation 6
    • Shoulder Injury and Treatment 3
    • Bladder and Urothelial Cancer Treatments 2
    • Cancer Immunotherapy and Biomarkers 4
    • PARP inhibition in cancer therapy 3

John Wu

26 papers receiving 312 citations

Peers

John Wu
Comparison fields: 5 of 61
  • Oncology 132
  • Surgery 98
  • Rehabilitation 15
  • Hepatology 14
  • Immunology 36
Replace Yasuhiro Torashima with:
Yasuhiro Torashima Japan
Chu Hui Zeng South Korea
Cheng Tian China
Jonathan C. DeLong United States
T. Papadopoulos Australia
Matthias Waldner Switzerland
Anita Mitra United Kingdom
Vanessa de Souza Valim Brazil
Jeffrey D. Pollard United States
John Wu relative to Yasuhiro Torashima Japan Yasuhiro Torashima's profile →
Citations per field
00.5×7.5×
Yasuhiro Torashima · 1×
Citations per year

Countries citing papers authored by John Wu

Since Specialization
Citations

This map shows the geographic impact of John Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Wu more than expected).

Fields of papers citing papers by John Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Wu. The network helps show where John Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside John Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Wu Line = papers co-authored together John Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201994
2 201832
3 201926
4 201923
5 201620
6 202118
7 201912
8 202311
9 202310
10 202010
11 20199
12 20217
13 20236
14 20226
15
Acute fatty liver of pregnancy: diagnosis and management of 8 cases.
20006
16 20116
17 20214
18 20213
19 20192
20 20232

About John Wu

John Wu is a scholar working on Surgery, Oncology, Epidemiology, Rehabilitation and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 315 indexed citations. Recurring topics across this work include Orthopedic Surgery and Rehabilitation (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Shoulder Injury and Treatment (3 papers), Bone fractures and treatments (3 papers), PARP inhibition in cancer therapy (3 papers), Elbow and Forearm Trauma Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Oncology (132 citations), Surgery (98 citations), Rehabilitation (15 citations), Hepatology (14 citations) and Immunology (36 citations). John Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Tarek Meniawy, Michael Friedländer, Bo Gao, Michael Millward, Linda Mileshkin, Virginia Paton, Alison Freimund, Joanne Lundy, Ben Markman and Paul R. Harnett. Their work appears in journals such as Orthopedic Clinics of North America, Journal of Clinical Oncology, The Journal Of Hand Surgery, British Journal of Cancer and JBJS Open Access.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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